SGER: Development of Human Poses for the Determination of on-site Construction Productivity in Real Time

在2001年9月11日恐怖袭击、卡特里娜飓风和南亚海啸之后，极端事件后受损基础设施的快速更换受到政府机构、工程和建筑界以及公众的密切关注。为了提高在极端事件后迅速更换受损基础设施的能力，迫切需要开发创新技术，用于制定准确可靠的施工时间表，以支持快速更换作业。以往的研究结果表明，不准确的时间表是由于不准确的生产率数据，用于产生的时间表。因此，开发的创新技术必须解决以下基本问题：（1）如何提高现场施工生产率数据的准确性;（2）如何自动连续地确定施工生产率，以支持每天都取得巨大进展的快速施工作业。主要研究者（PI）建议自动连续测量-基于使用无线实时生产率测量系统从施工现场获取的实况图像，真实的实时地测量现场施工生产率。为了实现这一目标，研究团队，包括PI和博士。学生，将开发与建筑活动相关的人体姿势，表示人体姿势的图形模型和可用于计算生产率的算法。如果成功的话，这个项目将为建筑行业的知识进步做出几个重大贡献。首先，它将推动计算机视觉技术在建筑运营中的应用。二是将提高现场施工生产率数据的准确性。最后，它将开发能够自动和连续实时测量生产率数据的新技术。有了这些进步，就有可能制定出准确可靠的施工计划，以实现快速施工。因此，该研究项目的成果将提高在极端事件后迅速更换受损基础设施的能力。更广泛的影响：PI建议开展以下活动以扩大该项目的影响。将通过参加各种会议和专业会议、在技术期刊和会议记录上发表成果以及建立网站，广泛传播成果，以提高科学和技术认识。PI将通过在为代表性不足的群体服务的机构进行校园访问和演讲来扩大代表性不足的群体的参与。此外，还将在堪萨斯大学和/或其他大学的女工程师协会、全国黑人工程师协会和西班牙裔专业工程师协会的学生分会上举行演讲和研讨会。最后，PI将通过开发，维护和运营堪萨斯大学土木，环境和建筑工程系的建筑实验室来加强研究和教育的基础设施。

After the September 11, 2001 terrorist attacks, hurricane Katrina, and the tsunami in South Asia, rapid replacement of damaged infrastructure after extreme events has been paid close attention to by government agencies, engineering and construction communities, and the general public. To enhance the capability of rapid replacement of damaged infrastructure after extreme events, there is an urgent need to develop innovative technologies that could be used to produce an accurate and reliable construction schedule to support rapid replacement operations. Results of previous research indicated that the inaccurate schedule is due to the inaccurate productivity data that is used to produce the schedule. Thus, the developed innovative technologies must address the fundamental issues (1) how to improve the accuracy of on-site construction productivity data and (2) how to determine the construction productivity automatically and continuously in order to support rapid construction operations that make dramatic progress every day.Intellectual Merit: The principal investigator (PI) proposes to automatically andcontinuously measure the on-site construction productivity in real time based on live images acquired from the construction site using a wireless real-time productivity measurement system. To accomplish this, the research team, including the PI and a Ph.D. student, will develop human poses that are associated with construction activities, graphical models that represent human poses and algorithms that can be used to calculate the productivity. If successful, this project will make several major contributions to theadvancement of knowledge in the construction industry. First, it will advance the applications of computer vision technologies in construction operations. Second, it will improve the accuracy of on-site construction productivity data. Finally, it will develop new technology that is capable of automatically and continuously measuring productivity data in real-time. With these advancements, it will be possible to develop an accurate and reliable construction schedule for rapid construction operations. Thus, the results of this research project will enhance the capability of rapid replacement of damaged infrastructure after extreme events.Broader Impacts: The PI proposes the following activities to broaden the impact of this project. Results will be widely disseminated to enhance scientific and technological understanding through participation in conferences and professional meetings, publishing results in technical journals and proceedings, as well as establishing a website. The PI will broaden participation of underrepresented groups by making campus visits and presentations at institutions that serve underrepresented groups. In addition, presentations and seminars will be made at the student chapters of Society of Women Engineers, National Society of Black Engineers, and the Society of Hispanic Professional Engineers at the University of Kansas and/or other universities. Finally, the PI will enhance the infrastructure for research and education by developing, maintaining, and operating the construction laboratory in the Department of Civil, Environmental, and Architectural Engineering at the University of Kansas.